*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Using the poplar and easy-to-learn Python language, this course offers a practical introduction to basics of programming and how it can be used to analyze, structure, and visualize data. Students will ...

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

Specialization: Bayesian Statistics for Data Science Instructor: Brian Zaharatos Prior knowledge needed: Statistics View on Coursera Learning Outcomes Articulate the primary interpretations of ...

Introduction to Python for Data Analysis Recall that R is a statistical programming language—a language designed to do things like t -tests, regression, and so on. The core of R was developed during ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

Statistical and Data Sciences Major Requirements Ten courses plus SDS 100 SDS 100 Five foundations and core courses: CSC 110 or CSC 120 SDS 192 MTH 211 SDS 210 SDS 291 One programming depth course: ...

Statisticians use applied statistics to solve practical problems in today’s data-centric world. They decide what data they need to collect, determine how to collect that data, and then analyze and ...

This BSc Mathematics with Data Sciences combines rigorous training in mathematics with an in-depth study of data science advancements. Initially, you’ll study foundational mathematical methods and ...